Summary
Bill Schill is a Head of Data Science with eight years of focused data and quantitative experience, currently leading analytics in the Lease-to-Own sector out of Pittsburgh. He combines a strong applied mathematics foundation (MS, University of Washington) with hands-on expertise in Python, R, SQL, Matlab and productionizing models for regulatory (DFAST/CECL) and commercial use. His background spans financial services, healthcare, and industrial research—delivering predictive modeling, forecasting, NLP, and end-to-end data engineering at firms like F.N.B., Cigna, and Uown Leasing. Known for turning complex bank stress-testing and customer-analytics problems into auditable, production-ready solutions, he also brings practical process-improvement experience from steel manufacturing and ERP automation. Off-hours he balances math and machine learning with hockey and rock & roll, a mix that signals both analytical rigor and team-ready energy.
9 years of coding experience
12 years of employment as a software developer
Master of Science (MS) Applied Mathematics, Master of Science (MS) Applied Mathematics at University of Washington
Bachelor of Arts (BA) Mathematics, Bachelor of Arts (BA) Mathematics at PennWest California
English, Spanish